Strategic capacity planning for smart production: Decision modeling under demand uncertainty

Chien, Chen–Fu; Dou, Runliang; Fu, Wenhan

doi:10.1016/j.asoc.2017.06.001

Cited by 62 publications

(28 citation statements)

References 23 publications

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“…In all abovementioned studies demand is treated as a function of unique product. Chien et al (2018) proposed model performs better than existing approach in minimizing the capacity cost loss of shortage for smart production. It is new working mechanism matching demand and supply and is suitable for advanced cases.…”

Section: Link Between Business Model and Supply And Demand Shortage Cmentioning

confidence: 91%

Supply and Demand Drug Shortage Causes: Patient-centric Business Model and its Application

Bublienė¹,

Burinskienė²

2019

AJHMS

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In this study, the authors have investigated supply and demand drug shortage causes and highlighted the collaborative business model in solving drug shortages. The aim of this research is to build a collaborative business model helping to investigate how to deal with drug shortages. The authors have included employee and patient relationship into collaborative business model. Following the analysis of the evolution of the term "business model", it is noted that the evolution of the term is closely linked to the development of B2(B2B) (McGlinchey and Toews 2017). In scientific literature there are mentioned more than 50 elements of the concept structure of the business model. In the study authors provided patient-centric business model and selected 9 main structure elements connected to the areas of key resources, key activities, and value system. The study consists of three parts. In the first one, the paper discloses the concept of a business model and the evolution of business models. In the second part, address the importance of links between distribution channel partners to solve drug shortage causes in distribution channel. The legal regulation provided in a good practice of supply of medicine in the chain and the right of the patients were highlighted to access to the goods and services. In the third part, the application of business model scenario in the pharma sector that might guarantee high level of protection of human health is presented. Herein several medical distribution channel scenarios are compared and their influence on drug shortage is presented. The research study is based on time horizon and event tree analysis.

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Section: Link Between Business Model and Supply And Demand Shortage Cmentioning

confidence: 91%

Supply and Demand Drug Shortage Causes: Patient-centric Business Model and its Application

Bublienė¹,

Burinskienė²

2019

AJHMS

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“…Mohamed et al 12 stated a stochastic multistage two-echelon distribution network design problem under demand uncertainty. Chien et al 13 stated the decision-making model of strategic capacity planning for intelligent production under demand uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling of optimal product supply strategies for manufacturer-to-group customers based on semi-real demand patterns

Zhuo

Chau

Huang

et al. 2020

International Journal of Engineering Business Management

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Customer demand is the core of the vendor’s implementation of product supply strategies. There are three different patterns of demand: real demand, false demand, and semi-real demand. For this article, we study the product supply strategy formulated for manufacturer-to-group customers based on a semi-real demand pattern. Firstly, we construct two mathematical models in which the manufacturer obtains the best profit based on the two supply modes in the semi-real demand pattern. Secondly, we solve the optimal production volume and optimal pricing. Finally, numerical examples are used to verify the validity of the model. In accordance with the optimization principle, results of the analysis are extended to the range of optimal value of product profit in the demand model, so as to explore the mechanism of manufacturers for maximizing group customers’ product profits under the semi-real demand model.

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“…For the long-term strategic capacity planning, Chien et al (2017) addresses demand uncertainty via judgemental forecasting for a semiconductor case. Kourentzes et al (2014) and Athanasopoulos et al (2017) demonstrate that conventional extrapolative forecasting methods perform poorly for such long-term predictions as both the selection and parametrisation of the models are based on short-term focused statistics.…”

Section: Introductionmentioning

confidence: 99%

“…At a tactical level, because of the geographical constraints on manufacturing capacity and inventory, the supply chain is strongly affected by external changes (Prater et al, 2001). Research by Chien et al (2017) states that leading indicators with information from an economic environment aid domain experts in formulating long-term demand forecasts. This motivates us to quantify the impact on sales forecasting with external macroeconomic indicators on the supply chain.…”

Section: Introductionmentioning

confidence: 99%

Incorporating macroeconomic leading indicators in tactical capacity planning

Sagaert

Kourentzes

Vuyst

et al. 2019

International Journal of Production Economics

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Tactical capacity planning relies on future estimates of demand for the mid-to long-term. On these forecast horizons there is increased uncertainty that the analysts face. To this purpose, we incorporate macroeconomic variables into microeconomic demand forecasting. Forecast accuracy metrics, which are typically used to assess improvements in predictions, are proxies of the real decision associated costs. However, measuring the direct impact on decisions is preferable. In this paper, we examine the capacity planning decision at plant level of a manufacturer. Through an inventory simulation setup, we evaluate the gains of incorporating external macroeconomic information in the forecasts, directly, in terms of achieving target service levels and inventory performance. Furthermore, we provide an approach to indi

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Strategic capacity planning for smart production: Decision modeling under demand uncertainty

Cited by 62 publications

References 23 publications

Supply and Demand Drug Shortage Causes: Patient-centric Business Model and its Application

Supply and Demand Drug Shortage Causes: Patient-centric Business Model and its Application

Mathematical modeling of optimal product supply strategies for manufacturer-to-group customers based on semi-real demand patterns

Incorporating macroeconomic leading indicators in tactical capacity planning

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